4.6 Article

Detecting continuous-variable entanglement in phase space with the Q distribution

Journal

PHYSICAL REVIEW A
Volume 108, Issue 4, Pages -

Publisher

AMER PHYSICAL SOC
DOI: 10.1103/PhysRevA.108.042410

Keywords

-

Ask authors/readers for more resources

The study demonstrates the universality of continuous variable entanglement criteria based on the Husimi Q distribution through a theorem by Lieb and Solovej, showing their general nature and optimization potential in continuous majorization theory. The derived criteria are compared with marginal-based criteria and the strength of the phase-space approach is highlighted for detecting entanglement in certain example states. Furthermore, optimization prospects are explored in experimentally relevant scenarios with sparse data, leading to clear improvements in detecting a wider range of states and enhancing the signal-to-noise ratio.
We prove a general class of continuous variable entanglement criteria based on the Husimi Q distribution, which represents a quantum state in canonical phase space, by employing a theorem by Lieb and Solovej. We discuss their generality, which roots in the possibility to optimize over the set of concave functions, from the perspective of continuous majorization theory and show that with this approach families of entropic as well as second moment criteria follow as special cases. All derived criteria are compared with corresponding marginal based criteria, and the strength of the phase-space approach is demonstrated for a family of prototypical example states where only our criteria flag entanglement. Furthermore, we explore their optimization prospects in two experimentally relevant scenarios characterized by sparse data: Finite detector resolution and finite statistics. In both scenarios optimization leads to clear improvements enlarging the class of detected states and the signal-tonoise ratio of the detection, respectively.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available